E-Foodworld

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 01 | Jan-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 1236
E-FOODWORLD
Namrata Y. Butch, Navanath V. Jadhav, Naumaan AR. Sayyed, Kiran Kuwar
Students, Computer Department, Met’s Bkc Ioe Nashik, Maharashtra, India
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Abstract - E-Food World is an android based mobile
application system that enables food service providers
to use and operate everything which they want through
a single touch. We are offering smart system which will
simplifies and automate food providers and consumers
chain. The proposed system will be design in such a way
that it will solve issues at both the sides that is
providers of food service as well as consumer of the
service. Today peoples are moving to different cities for
various purposes. They need some specific source of
food. Person who shifted can’t afford restaurants and
hotels every day. It is also difficult for newly shifted
person to find specific, good, nearby and affordable
service. On the other hand food service providers (i.e.
mess or Tiffin based service) faces many problems of
maintaining record, informing customer in emergency
cases, getting feedback from customer and many more.
Keeping all scenarios in mind proposed system will
customized according to need of user and service
providers. (In this paper we used term mess as a parcel
provider or tiffin provider).
1. INTRODUCTION
1.1 Project Idea:
Idea behind project is to solve problem of people which
they are facing when they shift to different city. The
system is not only for user but also for provider who
provides food service. This system is for making efficient
communication between consumer and producer of the
food system which will then leads to the ideal and effective
system.
1.2 Motivation:
i) Basically the motivation come from restaurant
management systems. There are various facilities
provided so that the users of that system will get service
effectively. So why not provider Mess will get those
facilities. Again the idea comes that mostly mess users are
person who are shifted for various reason in new cities. So
they are interrelated.
ii) Again the motivation is increasing use of smart phones,
so that any users of this system get all service on single
click. There are many system developed on restaurant
management so to take an idea about all process we
reviewed various papers on restaurant management,
various algorithms and various android application which
are in market.
2. LITERATURE SURVEY
There are many system developed on restaurant
management so to take an idea about all process we
reviewed various papers on restaurant management,
various algorithms and various android application which
are in market.
2.1 Zigbee based smart ordering system:
In this they are designed a system based on a part of
restaurant management that is to manage order of
customer using Zigbee wireless technology which will give
advantage of mobility and ease of access. The system uses
a small keypad to place orders and the order made by
inserting the code on the keypad menu. This code comes
along with the menu. The signal will be delivered to the
order by the Zigbee technology, and it will automatically
be displayed on the screen in the kitchen [1].
2.2 Real-Time Fully Automated Restaurant
Management And Communication System RESTO:
This paper includes automation of restaurant
management for or daring food, feedback, generating
report etc. [2].
2.3 e-Restaurant:
It is also automated one based on making restaurant
online [12]. In addition to this for finding nearest mess we
gain information about various algorithms.
i) Finding Nearest Facility Location with Open Box Query
using Geo-hashing and Map Reduce [8].
ii) Geometric Hashing: An Overview [9]. Also we survey to
the different mess in different area of cities to get actual

requirements and to know their problems.
iii) While surveying we observe that there are various
kinds of problems faced by mess providers in terms of
wastage, feedback, customers, and many more.
2.4 FoodPanda:
The concept is after giving input as area it will display all
restaurants in within that area. But after reading some
review we observe that there is one sided communication
that is user interaction is not there, poor contact between
Foodpanda and restaurant, customer cant cancel order
given, waiting time is long, sometimes menu items not
available, no remove button, no instant response, have to
login again and Again, and many more.
2.5 Urbanspoon:
It is also for restaurant service. It also has some issues
related to service provided
2.6 Eplcurious:
It is basically for recipes which are served to customers.
All information which are related to recipes like
ingredient, how to cook in step by step process is given.
2.7 Veg Out:
It is especially for vegetarian food. It displays food in
alphabetical order.
2.8 FoodSpotting:
It is related to recipes mainly. But review says that there
is poor image quality, no push notification, cannot edit
post already made, cannot resize image.
2.9 Open Table:
It displays list of table addition with available tables. Input
given by user is size and time. They provide redeem points
also.
2.10 Big Oven:
It is basically designed for recipes. It includes menu
planner.
2.11 Local Eats:
It has list of local restaurants. It uses GPS receiver for
location. It also includes alphabetical search. By this
survey we decided to club this all functionality into one
system with additional facilities and rather than
developing system for restaurants and hotel we are
developing system for mess service provider with
bidirectional communication between service consumer
and service provider. Proposed system overcomes all
disadvantage of above. Proposed system will includes
features like one time login, finding nearest service, menu
planner, push notification, uploading facility, instant
response facility, message facility, canceling Feature.
It also have employee module which includes login,
communication between owner and employee, food
related information and many more. Searching can be
done in different manner like distance wise, cost wise,
type wise (veg or non-veg), rating wise so that the user
will comfortable to use application with their requirement.
3. PROBLEM DEFINATION AND SCOPE
3.1 Problem Statement:
Suppose the person got a job in different city then his own
town or let’s say a student goes for higher studies to other
different city leaving his/her own town. At that time the
city is new for that person so he/she has to manage
different things there. One of them is food. They can go to
hotels and restaurants but every day it is not feasible and
affordable for the person, and also it is not good for health.
It is necessary to find mess that gives homemade food on
time and at both the times (lunch and dinner). This
process of finding food service and gives all facility to user
efficiently the system will be developed.
3.1.1 Goals and objectives:
i) Goals: To eliminate the burden of searching good food
in new city. To save time of managing all the tasks for food
service provider. To provide user friendly efficient service
to all users.
ii) Objectives: The main objective of the proposed system
is user comfort when they shifted to any new city. A Newly
shifted person has lot to manage when they shifted from
one place to another so this system will simply solve food
related issues for people. Another main objective of this
system is to manage different task of food provider and to
automate them and to reduce use of paper and provide
them a mobile system which will help them to do all task
user friendly. Also there are some home food seeker who
want homemade food, and when they shifted to new city
they have to manage their food from anywhere from hotel
or restaurant. The proposed system will designed for

those who provide homemade food. So that everyone who
uses this system will be beneficial with Hygienic, quality
and homemade food.
3.2 Statement of scope:
Scope of proposed system is justifiable because in large
amount peoples are shifting to different cities so wide
range of people can make a use of proposed system.
3.3 Methodologies of Problem Solving and
Efficiency Issues:
Searching: In proposed system we are using Geo-hashing
technique for searching. Here, the advantages of this
technique over other approaches are:
i) With minimal communication and maintenance costs,
the underlying data structure can be easily decomposed
and shared among a number of cooperating processors,
and the technique has been implemented on the
Connection Machine.
ii) One of the advantages is that geometric hashing is
inherently parallel.
iii) The structure of geo-hashed data has advantage that
data indexed by geohash will have all points for a given
rectangular area in contiguous slice.
3.4 Outcome:
i) An automated product which will provides different
facilities for food service provider.
ii) Consumer will get nearest mess service.
iii) Based on various criteria user will have different
choice to select mess service.
iv) Easy to get hygienic, affordable food in new city.
v) Money will be saved no more restaurants bill.
vi) Automated system for managing different task of
provider.
4 DETAILED DESIGN
4.1 Introduction:
System architecture will simplify whole system in such a
way that every user of the system gets benefits. As shown
in figure there are 3 main users service consumer, owner
of mess/parcel service, and employee of mess. When a
person shifted to new city he has to find source for
hygienic and quality food so he will search and select mess
or home based food service based on his category that is
whether the person is student, employee or general as
well as service that is veg or non-veg. Here the main
function is in what pattern user will search the service so
for that purpose we are using a part of geo-hashing
algorithm and GPS system should be on. Person can have
facility to search service by location that is home location
of the person is detected with GPS and according to
selected option location of nearby service get searched.
Another way for searching is by cost. Here user must give
input in terms of rupees that in what range he need
service per plate if there are any service provider within
that area than the list will display. User can also search by
rating. The service that has rating is checked by user given
rating and if matched it will give the list of service. Search
can be done by accepting distance from user in which user
need to search and displaying service provider within that
distance. User can communicate to service provider with
the help of message box and get notification from provider
end if any. On the other end provider has facility to add or
reject request from person who want to join the service.
Provider can maintain co-ordination between more than
one messes. Apart from this auto report generation,
employee and user management, calculation of payment,
bill generation, Menu generation, and the main thing he
can able to view history of staff that are previously
working there. Employee is also part of this system who is
working in a mess. The main functionality is giving
requirement about vegetable and utensils needed to
owner. Also they can view, share recipe by video
uploading.
4.2 Architecture Design:
Fig -1: System Architecture

Owner (service provider) also registers on the system
with detailed information. User name and password is also
provided to the owner for login. Owner also selects the
service which he provides either home based or mess
service. Also select the food type veg, non-veg or both
which he/she provides. Owner also maintains the
information about staff or employee which working for
the mess. Owner can add staff, add user, delete user and
view feedback which is given by users.
Staff also register on the system with detailed information
includes gender and food type which he/she cooking (veg,
non-veg). When the employee login to the system it having
the options includes add recipes, view video recipes,
message to the owner about the requirement (vegetables,
utensils etc.). The information of all users and employee is
stored in the database at the server end which is
accessible to only owner.
4.3 Geo-hashing Technique:
Our project is basically depends on how accurately it finds
the nearest mess according to users requirement. In
literature survey we analyze different techniques to find
the nearest location. But other techniques not satisfy exact
requirements of our project. But Geo hashing is one of the
techniques which search the location within minimum
time and gives accurate result. Therefore, we uses the
concept of Geo hashing in our project for finding the
nearest mess location. It includes longitude and latitude
for finding the location. Geo-tagging is also used to tag the
location of the mess according to the user’s requirement.
Algorithm for finding nearest location:
i) The whole world is divided into two parts. “0” value is
given to the first half part and “1” value is given to another
half part. The process of division is done by vertical lines.
ii) Division is again performed on divided parts. This
division is done by horizontal lines. Again 0”value is given
to the first half part and “1”value is given to another half
part.
iii) Steps 1 & 2 are repeated for obtaining bit series (single
bits).
iv) This bits are converted into 32 base format.
v) In which sector (region) the location is falling, the code
of that sector is geo hash the code of the location.
Geo code is important for finding nearest location.by using
geo code accurate location is obtained. This geo code is
compared with the geo code of other places whose record
is there and finds the nearest location between them. In
our system geo hashing technique is used for finding the
mess by (location, cost, distance).after that geo tagging is
used to tag the location and route navigation.
5 CONCLUSIONS
Proposed system is based on user need and user centered.
The system will developed in considering all issues related
to all user which are included in this system. Wide range of
people can use this if they know how to operate android
smart phone. Various issues related to mess will be solved
by providing them a full-fledged system. Thus we are
implementing E-FoodWorld system to help and solve one
of the problems of people.
REFERENCES
[1] Zigbee-Based Smart Ordering System (S.O.S):
http://www.ijcttjournal.orgJ.
[2] Real-Time Fully Automated Restaurant Management
and Communication System Retro:
http://www.ijret.org
[3] Automated Food Ordering System with Real-Time
Customer Feedback: www.ijarcsse.com
[4] Electronic Menu Card for Restaurants:
http://www.slideshare.net/ijreteditor/electronicme
nu-card-for-restaurants
[5] Automated Food Ordering System with Real-Time
Customer Feedback www.ijarcsse.com.
[6] Design and Implementation of Digital dining in
Restaurants using Android www.ijarcsms.com
Abbreviations and Acronyms
[7] An Efficient Algorithm to Detect the Nearest
Location of A Map for A Given- Theme:
http://www.ijstr.org/ final-print /apr2013/An-
Efficient-Algorithm-To-Detect-The-Nearest-
Location-Of-A-Map-For -A-Given-Theme.pdf
[8] Finding Nearest Facility Location with Open Box
Query using Geo-hashing and Map-Reduce-
http://www.gdeepak.com/pubs/Finding Nearest
Facility Locations with MapReduce.pdf
[9] Geometric Hashing: An Overview:
http://graphics.stanford.edu /courses/cs468-01-
winter/papers/wr-ghao-97.pdf

[10] Touch Panel Based Restaurant Automation System
usingZigbeehttp://www.ijsr.net/archive/v4i5/SUB
154313.pdf.
[11] A Novel Approach in Restaurant Management with
Adaptive Channel Hopping Technique:
http://www.ijircce.com/upload/2015/june/
NOVEL.pdf]
[12] eRestaurant:OnlineRestaurantManagementSystemfo
rAndroidhttp://thesai.org/Downloads/SpecialIssue
No5/Paper8-E-Restaurant Online Restaurant
Management System for Android.pdf
[13] A Case Study in the Design of a Restaurant
Management System
http://people.uncw.edu/simmondsd/research/PUB
LICATIONS/rms.pdf
[14] An Efficient Approach to Find Nearest Location
Using GEOHASHING on Hadoop and Pig:
http://ijoer.in/3.3.15/771-777
[15] Digital Ordering System for Restaurant Using
Android: www.ijsrp.org ]
[16] Software Engineering a Practionars Approach: fifth
Edition: Roger S.Pressman
[17] Dr. Deepak Garg and Vikram Singla, “Finding
Nearest Facility Location with Open Box Query using
Geo-hashing and Map-Reduce”, 2014 IEEE
International Advance Computing Conference
(IACC)
BIOGRAPHIES
Namrata Y. Butch appearing for BE
degree from the Department of
Computer Engineering, MET’s Bhujbal
Knowledge City IOE, Nashik.
Navanath V. Jadhav appearing for BE
Naumaan AR. Sayyed appearing for
BE degree from the Department of
Kiran R. Kuwar appearing for BE

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